from datasets import DatasetDict, load_dataset, SplitGenerator, Split
import datasets

_Base_url = "https://huggingface.co/datasets/khalidalt/xtd_11/resolve/main/test/"
_Languages = ["ar", "de", "en", "es", "fr", "jp", "ko", "pl", "ru", "tr", "zh"]  # List all your languages here

class XTD_11Config(datasets.BuilderConfig):
    """ Builder config for Joud Dataset. """

    def __init__(self, subset, **kwargs):
        super(XTD_11Config, self).__init__(**kwargs)

        if subset !="all":
            
            self.subset = [subset]
        else:
            self.subset = _Languages

            
class XTD_11(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")
    BUILDER_CONFIGS_CLASS = XTD_11Config
    BUILDER_CONFIGS = [
        XTD_11Config(name=subset,
        subset=subset,
        version=datasets.Version("1.1.0", ""),
        description='') 
        for subset in _Languages
    ] + [
        XTD_11Config(
            name = "all",
            subset="all",
            version=datasets.Version("1.1.0", ""),
            description='')
    ]
    def _info(self):
        # Assumes all files have the same structure. Adjust as needed.
        return datasets.DatasetInfo(
            # This is a placeholder, adjust according to your dataset structure
            features=datasets.Features({
                "text": datasets.Value("string"),
                "image_name": datasets.Value("string"),
                "url": datasets.Value("string"),
            }),
            description="A benchmark to test model capability in image retrieval named xtd.",
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        # Define your base URL or local path where the files are located
        
        # Generate splits for each language
        return datasets.SplitGenerator(
            name=datasets.Split.TEST,
            # Assuming the use of URLs. For local files, adjust accordingly.
            gen_kwargs={"filepaths": [f"{_Base_url}{lang}.json" for lang in self.config.subset]}
        )
        
        

    def _generate_examples(self, filepaths=None):
        """Yields examples."""
        # This method needs to handle both single and multiple filepaths
        # Adjust the logic based on how you want to load and yield data from your JSON files

        id_ = 0 
        for filepath in filepaths:
            # Load data from a single file
            with open(filepath, encoding="utf-8") as f:
                for row in f:
                    data = json.loads(row)
                    yield id, row
                    id_ +=1